Background and Purpose: Machine learning models have been used to diagnose
schizophrenia. The main purpose of this research is to introduce an effective schizophrenia …

Schizophrenia affects patients and their families and society because of chronic impairments
in cognition, behavior, and emotion. However, its clinical diagnosis mainly depends on the …

Background Schizophrenia (SZ) is one of the prevalent mental ailments worldwide and is
manually diagnosed by skilled medical professionals. Nowadays electroencephalogram …

At present, lots of studies have tried to apply machine learning to different
electroencephalography (EEG) measures for diagnosing schizophrenia (SZ) patients …

Objective. Schizophrenia (SCZ) is a severe mental disorder associated with persistent or
recurrent psychosis, hallucinations, delusions, and thought disorders that affect …

Schizophrenia is a fatal mental disorder, which affects millions of people globally by the
disturbance in their thinking, feeling and behaviour. In the age of the internet of things …

Objective: Compared with the healthy control (HC) group, the brain structure and function of
schizophrenia (SZ) patients are significantly abnormal, so brain imaging methods can be …

This study proposes an innovative expert system that uses exclusively EEG signals to
diagnose schizophrenia in its early stages. For diagnosing psychiatric/neurological …

Background and objective Electroencephalogram (EEG) signals record brain activity, with
growing interest in quantifying neural activity through complexity analysis as a potential …

Accepted: 20 March 2020 This study presents a method that aims to automatically diagnose
Schizophrenia (SZ) patients by using EEG recordings. Unlike many literature studies, the …